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jinaai
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jina-reranker-v1-turbo-en

Text Classification
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PyTorch
ONNX
Safetensors
Transformers.js
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bert
feature-extraction
reranker
cross-encoder
custom_code
🇪🇺 Region: EU
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@@ -73,9 +73,9 @@ We evaluated Jina Reranker on 3 key benchmarks to ensure top-tier performance an
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  | Model Name | NDCG@10 (17 BEIR datasets) | NDCG@10 (5 LoCo datasets) | Hit Rate (LlamaIndex RAG) |
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  | ---------------------------- | -------------------------- | ------------------------- | ------------------------- |
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- | `jina-rereanker-v1-base-en` | 52.45 | 87.31 | 85.53 |
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- | `jina-rereanker-v1-turbo-en` | 49.60 | 69.21 | 85.13 |
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- | `jina-rereanker-v1-tiny-en` | 48.54 | 70.29 | 85.00 |
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  | `mxbai-rerank-base-v1` | 49.19 | - | 82.50 |
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  | `mxbai-rerank-xsmall-v1` | 48.80 | - | 83.69 |
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  | `ms-marco-MiniLM-L-6-v2` | 48.64 | - | 82.63 |
 
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  | Model Name | NDCG@10 (17 BEIR datasets) | NDCG@10 (5 LoCo datasets) | Hit Rate (LlamaIndex RAG) |
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  | ---------------------------- | -------------------------- | ------------------------- | ------------------------- |
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+ | `jina-rereanker-v1-base-en` | **52.45** | **87.31** | **85.53** |
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+ | `jina-rereanker-v1-turbo-en` | **49.60** | **69.21** | **85.13** |
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+ | `jina-rereanker-v1-tiny-en` | **48.54** | **70.29** | **85.00** |
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  | `mxbai-rerank-base-v1` | 49.19 | - | 82.50 |
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  | `mxbai-rerank-xsmall-v1` | 48.80 | - | 83.69 |
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  | `ms-marco-MiniLM-L-6-v2` | 48.64 | - | 82.63 |